Recent Submissions

  • Realidad Virtual hoy y oportunidades laborales

    Tomás Talledo, Tomy (Universidad Peruana de Ciencias Aplicadas (UPC), 2018-05-05)
    Exposición en el marco de la "Primera exposición GameLab" de desarrollo de videojuegos, llevado a cabo el 05 de Mayo en la Universidad Peruana de Ciencias Aplicadas (UPC), el Campus Monterrico. Lima, Peru.
  • 10 Tips para que tu ciclo de desarrollo no sea eterno

    Kanno Kamisato, Juan Hitoshi (Universidad Peruana de Ciencias Aplicadas (UPC), 2018-05-11)
    Exposición en el marco de la "Primera exposición GameLab" de desarrollo de videojuegos, llevado a cabo el 05 de Mayo en la Universidad Peruana de Ciencias Aplicadas (UPC), el Campus Monterrico. Lima, Peru.
  • Information architecture model for the successful data governance initiative in the peruvian higher education sector

    Castillo, Luis Felipe; Raymundo, Carlos; Mateos, Francisco Dominguez (Institute of Electrical and Electronics Engineers Inc., 2017-08)
    The research revealed the need to design an information architecture model for Data Governance initiative that can serve as an intercom between current IT / IS management trends: Information technology (IT) management and information management. A model is needed that strikes a balance between the need to invest in technology and the ability to manage the information that originates from the use of those technologies, as well as to measure with greater precision the generation of IT value through the use of quality information and user satisfaction, using the technologies that make it possible for the information to reach them to be used in their daily work.
  • Approaches based on tree-structures classifiers to protein fold prediction

    Shiguihara-Juarez, Pedro; Mauricio-Sanchez, David; de Andrade Lopes, Alneu (Institute of Electrical and Electronics Engineers Inc., 2017-08)
    Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all and ensemble nested dichotomies were applied to this task and, in most of the cases, multiclass approaches were used. In this paper, we compare classifiers organized in tree structures to classify folds. We used a benchmark dataset containing 125 features to predict folds, comparing different supervised methods and achieving 54% of accuracy. An approach related to tree-structure of classifiers obtained better results in comparison with a hierarchical approach.
  • Software defined radio for hands-on communication theory

    Miyashiro, Hector; Medrano, Melissa; Huarcaya, Jose; Lezama, Jinmi (Institute of Electrical and Electronics Engineers Inc., 2017-08)
    Based on a workshop developed at INICTEL-UNI, this paper presents the methodology and considerations taken to improve the experiences in communication laboratory sessions in Peruvian universities with Software Defined Radio platforms, using a HackRF-One for transmission and a RTL-SDR for reception together with GNUradio Companion, an open source software. The use of these tools allows real communications to be implemented with low cost, simplicity and flexibility that represents a perfect combination for undergraduate laboratory sessions. In addition, it is also presented an 8-PSK communication system implementation as an experience to digital communications as a viability of this proposal.
  • Predictive modeling for presumptive diagnosis of type 2 diabetes mellitus based on symptomatic analysis

    Barrios, Ordonez; Alberto, Diego; Infantes, Vizcarra; Raphael, Erick; Aguirre, Armas; Alexander, Jimmy (Institute of Electrical and Electronics Engineers Inc., 2017-08)
    The purpose of using Predictive Modeling for presumptive diagnosis of Type 2 Diabetes Mellitus based on symptomatic analysis is the optimization of the diagnosis phase of the disease through the process of evaluating symptomatic characteristics and daily habits, allowing the forecasting of T2DM without the need of medical exams through predictive analysis. The tool used was SAP Predictive Analytics and in order to identify the most suitable algorithm for the prediction, we evaluated them based on precision and false positive/negative relations, having found the Auto Classification algorithm as the most accurate with a 91.7% precision and a better correlation between false positives (8) and false negatives (3).
  • Sustainable Energy Model for the production of biomass briquettes based on rice husk in low-income agricultural areas in Peru.

    Arévalo, Juan; Quispe, Grimaldo; Raymundo, Carlos (Elsevier B.V., 2017-12)
    The proposed Sustainable Energy Model is based on rice husk and the development of briquettes made from agricultural waste, which will increase efficiency in the domestic sector, and potentially replace conventional polluting fuels such as firewood. Large volumes of rice husks from millers are found scattered in rural agricultural areas of the San Martin region of Peru, where people are exposed daily to the emissions of polluting gases produced by burning these wastes, causing respiratory and lung diseases. Despite present circumstances, this waste has a great energetic potential that is not yet used by society, representing an opportunity to encourage socioenvironmental development and generate added value to the husk. Based on a compaction and drying process, briquettes were obtained with 4,040 kcal / kg of heat power and 80.39% combustion efficiency, allowing the little use of biofuel compared to firewood, and consequently, the utilization of this biofuel would reduce levels of deforestation. In contrast to similar projects, the sustainability of an energetic model of briquette production will be achieved when economic, environmental and social aspects are met, developing clean technologies and an efficient supply chain, from the supply of the husk to the commercialization of briquettes
  • Modelo de asociación entre objetos y estilos de aprendizajes para una Plataforma de aprendizaje adaptativo

    Luis Maza Arnao; Raymundo Ibañez, Carlos Arturo; Dominguez, Francisco (International Institute of Informatics and Systemics, IIIS, 2017-03)
    Adaptive learning systems constitute a new approach to e-learning systems, they allow adapting the content to the individual characteristics of students. Two of its main components are the domain model and the student model, whose key elements are the learning objects (OA) and learning style, respectively. LOs are digital educational content provided by the course while learning style will define how the student learns. Within this context the motivation of this study is to propose a partnership model for relating the LOs with student learning styles. After conducting a systematic review of previous work related a mathematical model of partnership LOs and learning styles by reference to their type of format and content type to determine which is associated LOs better student learning style is presented.
  • Modelo de Gestión del Portafolio Digital del nivel de Percepción sobre la Evaluación del Aprendizaje del Estudiante

    Erika Nancy Castillo Pantoja; Raymundo Ibañez, Carlos Arturo (nternational Institute of Informatics and Systemics, IIIS, 2017-03)
    The digital management model portfolio emerges as an alternative for the evaluation of the learning that acts as support in the performance of the process of teaching and the continuous improvement of the students learning process, in the course thesis of the computing and systems engineering program, providing the opportunity for being the host of his own learning. The main feature of this tool is that allows the evidence management and the self-assessment of this learning involving cognitive and metacognitive processes leading to consider it one of the most important educational innovations in the university environment.
  • Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance

    Ampuero, Libusi; Alfaro, Rosa; Raymundo Ibañez, Carlos Arturo; Dominguez, Francisco (International Institute of Informatics and Systemics, IIIS, 2017-03)
    Data management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. In this way ensure the success of a Data Governance initiative.
  • Planificación urbana y gestión de desastres

    Universidad Peruana de Ciencias Aplicadas (UPC) (Universidad Peruana de Ciencias Aplicadas (UPC), 2017-06-02)
    Conversatorio que se desarrolló en la sede de San Miguel de la Universidad Peruana de Ciencias Aplicadas (UPC). El evento abordó los aspectos sobre el manejo de crisis en situaciones de emergencia ante desastres, en especial frente a los efectos del Niño Costero; planificación urbana en el Perú y gestión de riesgos en obras de infraestructura ante posible desastres; actuación del gobierno frente a los efectos del Niño Costero y políticas para la reconstrucción, psicología en situaciones de emergencia; y geografía de los desastres.
  • MMDES: Multimedia Digital Ecosystem

    Asres Kidanu, Salomon; Cardinales, Yudith; Chbeir, Richard; De Ponte, Víctor; Figueroa, Alejandro; Rodríguez, Figueroa; Raymundo Ibañez, Carlos Arturo (Computational Science and Engineering, 2016-08)
    Currently multimedia contents dominate the information exchanged in Internet, particularly through social networks. Each actor on the Internet becomes producer and consumer of contents. Nevertheless, social network and other traditional collaborative environments present limitations regarding content selection, categorization, aggregation, linking and interoperability, and usage control and privacy. In [1], we proposed the architecture (based on a peer-to-peer infrastructure and Semantic Web) of a MultiMedia Digital EcoSystem (MMDES), as a new environment for collaboration and sharing of multimedia resources, multimedia processings, as well as for computing and storage capabilities. In this paper, we describe MMDES framework and functionalities related to managing the collective knowledge and equilibrium in MMDES. We also describe the implementation of MMDES using a mobile platform in order to provide resources’ sharing for the Archivo Nacional de Arte Rupestre (ANAR) in Venezuela
  • Development of a digital signal processing software oriented to support the teaching, training and improvement of vocal technics in the tenor vocal range

    Universidad Peruana de Ciencias Aplicadas (UPC) (Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on, 2015-09)
    The main objective of this work is to present the procedure of development of a software solution, oriented to support the teaching, training and improvement of vocal techniques in the tenor vocal range, by using digital signal processing. It also attempts to expose the importance of the signal processing tools used to estimate vocal parameters, which allow the software to determine the presence of incorrect voice emission or the degradation of sound quality.
  • Design and implementation of a prototype of an electrooculographic signal processing system oriented to control - by wink - the instant messaging environment Telegram for users with motor limitations in upper limbs

    Universidad Peruana de Ciencias Aplicadas (UPC) (Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on, 2015-09)
    This paper is based upon the design and implementation of a Human Computer Interface (HCI) as a support tool for people with upper limb disabilities, especially those with difficulties in speech, so as to interact and communicate by Instant Messaging Environments (IME). For this, we have implemented the appropriate hardware for acquisition and conditioning of the electrooculografic signal. As for the software, we have developed a wink pattern recognition algorithm composed of three processes: zero crossing technique adapted to the level of direct current (DC), comparison of the energy threshold and the Pearson correlation coefficient. Besides, a virtual keyboard was implemented to allow users to select, by means of winks, the characters that they wanted to transmit messages by the IME Telegram. Finally, the system was tested by potential users obtaining a success rate of 94.90% that proof how effective and reliable it is.